A conditional mesh-to-mesh GAN with local KNN and global graph branches predicts future thoracic aortic aneurysm shape and diameter more accurately than baseline mesh networks on a private longitudinal dataset.
An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction
A conditional mesh-to-mesh GAN with local KNN and global graph branches predicts future thoracic aortic aneurysm shape and diameter more accurately than baseline mesh networks on a private longitudinal dataset.